Version 1
: Received: 22 August 2022 / Approved: 26 August 2022 / Online: 26 August 2022 (09:50:28 CEST)
How to cite:
Gökdemir, F.Ş.; İşeri, Ö.D.; Sharma, A.; Achar, P.; Eyidoğan, F. Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnosing Plant Fungal Pathogens. Preprints2022, 2022080457. https://doi.org/10.20944/preprints202208.0457.v1
Gökdemir, F.Ş.; İşeri, Ö.D.; Sharma, A.; Achar, P.; Eyidoğan, F. Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnosing Plant Fungal Pathogens. Preprints 2022, 2022080457. https://doi.org/10.20944/preprints202208.0457.v1
Gökdemir, F.Ş.; İşeri, Ö.D.; Sharma, A.; Achar, P.; Eyidoğan, F. Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnosing Plant Fungal Pathogens. Preprints2022, 2022080457. https://doi.org/10.20944/preprints202208.0457.v1
APA Style
Gökdemir, F.Ş., İşeri, Ö.D., Sharma, A., Achar, P., & Eyidoğan, F. (2022). Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnosing Plant Fungal Pathogens. Preprints. https://doi.org/10.20944/preprints202208.0457.v1
Chicago/Turabian Style
Gökdemir, F.Ş., Premila Achar and Füsun Eyidoğan. 2022 "Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnosing Plant Fungal Pathogens" Preprints. https://doi.org/10.20944/preprints202208.0457.v1
Abstract
Crop output is directly impacted by plant infections (with fungi as the major pathogen), making accurate diagnosis of these threats crucial. Developing technology and multidisciplinary approaches are turning to genomic analyses in addition to traditional culture methods in diagnosing fungal plant diseases. The metagenomic next-generation sequencing (mNGS) method is preferred for genotyping identification of organisms, identification at the species level, illumination of metabolic pathways, and determination of microbiota. Moreover, the data obtained so far show that this new approach shows promise as an emerging new trend in fungal disease detection. Another approach covered by mNGS technologies, known as metabarcoding, enables use of specific markers specific to a genetic region and allows for genotypic identification by facilitating the sequencing of certain regions. Although the core concept of mNGS remains constant across applications, the specific sequencing methods and bioinformatics tools used to analyze the data do differ. In this review, we focus on how mNGS technology, including metabarcoding, is applied in fungal pathogenesis and its promising developments for the future.
Biology and Life Sciences, Immunology and Microbiology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
